Adversarial Robustness

Adversarial Robustness evaluates the vulnerabilities of machine learning models under various types of adversarial attacks.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1201–1225 of 1746 papers

Title	Date	Tasks	Status
Provable Defense Against Clustering Attacks on 3D Point Clouds	Nov 22, 2021	Adversarial RobustnessClustering	—Unverified
Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning	Nov 16, 2021	Adversarial Robustnesstext-classification	—Unverified
Removing Out-of-Distribution Data Improves Adversarial Robustness	Nov 16, 2021	Adversarial Robustness	—Unverified
Robust and Accurate Object Detection via Self-Knowledge Distillation	Nov 14, 2021	Adversarial RobustnessKnowledge Distillation	CodeCode Available
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception	Nov 12, 2021	Adversarial Robustness	CodeCode Available
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search	Nov 9, 2021	Adversarial RobustnessAutoML	—Unverified
Characterizing the adversarial vulnerability of speech self-supervised learning	Nov 8, 2021	Adversarial RobustnessBenchmarking	—Unverified
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness	Nov 3, 2021	Adversarial RobustnessSensitivity	—Unverified
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding	Nov 1, 2021	Adversarial RobustnessAll	—Unverified
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach	Oct 30, 2021	Adversarial Robustness	CodeCode Available
Adversarial Robustness with Semi-Infinite Constrained Learning	Oct 29, 2021	Adversarial Robustness	—Unverified
Binarized ResNet: Enabling Robust Automatic Modulation Classification at the resource-constrained Edge	Oct 27, 2021	Adversarial RobustnessBinarization	—Unverified
Towards Evaluating the Robustness of Neural Networks Learned by Transduction	Oct 27, 2021	Adversarial RobustnessBilevel Optimization	CodeCode Available
A Frequency Perspective of Adversarial Robustness	Oct 26, 2021	Adversarial Robustness	—Unverified
Adversarial Robustness in Multi-Task Learning: Promises and Illusions	Oct 26, 2021	Adversarial RobustnessMulti-Task Learning	CodeCode Available
Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff	Oct 22, 2021	Adversarial RobustnessBinary Classification	—Unverified
How and When Adversarial Robustness Transfers in Knowledge Distillation?	Oct 22, 2021	Adversarial RobustnessKnowledge Distillation	—Unverified
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness	Oct 21, 2021	Adversarial RobustnessCombinatorial Optimization	—Unverified
On the Sensitivity and Stability of Model Interpretations	Oct 16, 2021	Adversarial RobustnessDependency Parsing	—Unverified
A Framework for Verification of Wasserstein Adversarial Robustness	Oct 13, 2021	Adversarial AttackAdversarial Robustness	—Unverified
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness	Oct 13, 2021	Adversarial Robustness	—Unverified
Are models trained on temporally-continuous data streams more adversarially robust?	Oct 12, 2021	Adversarial Robustness	—Unverified
Evaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN	Oct 12, 2021	Adversarial RobustnessFoveation	—Unverified
Gated Information Bottleneck for Generalization in Sequential Environments	Oct 12, 2021	Adversarial RobustnessOut of Distribution (OOD) Detection	CodeCode Available
Parameterizing Activation Functions for Adversarial Robustness	Oct 11, 2021	Adversarial Robustness	—Unverified

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All datasets AdvGLUE CIFAR-10 ImageNet ImageNet-A ImageNet-C Stylized ImageNet CIFAR-100

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DeBERTa (single model)	Accuracy	0.61	—	Unverified
2	ALBERT (single model)	Accuracy	0.59	—	Unverified
3	T5 (single model)	Accuracy	0.57	—	Unverified
4	SMART_RoBERTa (single model)	Accuracy	0.54	—	Unverified
5	FreeLB (single model)	Accuracy	0.5	—	Unverified
6	RoBERTa (single model)	Accuracy	0.5	—	Unverified
7	InfoBERT (single model)	Accuracy	0.46	—	Unverified
8	ELECTRA (single model)	Accuracy	0.42	—	Unverified
9	BERT (single model)	Accuracy	0.34	—	Unverified
10	SMART_BERT (single model)	Accuracy	0.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Mixed classifier	Accuracy	95.23	—	Unverified
2	Stochastic-LWTA/PGD/WideResNet-34-10	Accuracy	92.26	—	Unverified
3	Stochastic-LWTA/PGD/WideResNet-34-5	Accuracy	91.88	—	Unverified
4	GLOT-DR	Accuracy	84.13	—	Unverified
5	TRADES-ANCRA/ResNet18	Accuracy	81.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet-50 (SGD, Cosine)	Accuracy	77.4	—	Unverified
2	ResNet-50 (SGD, Step)	Accuracy	76.9	—	Unverified
3	DeiT-S (AdamW, Cosine)	Accuracy	76.8	—	Unverified
4	ResNet-50 (AdamW, Cosine)	Accuracy	76.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeiT-S (AdamW, Cosine)	Accuracy	12.2	—	Unverified
2	ResNet-50 (SGD, Cosine)	Accuracy	3.3	—	Unverified
3	ResNet-50 (SGD, Step)	Accuracy	3.2	—	Unverified
4	ResNet-50 (AdamW, Cosine)	Accuracy	3.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet-50 (AdamW, Cosine)	mean Corruption Error (mCE)	59.3	—	Unverified
2	ResNet-50 (SGD, Step)	mean Corruption Error (mCE)	57.9	—	Unverified
3	ResNet-50 (SGD, Cosine)	mean Corruption Error (mCE)	56.9	—	Unverified
4	DeiT-S (AdamW, Cosine)	mean Corruption Error (mCE)	48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeiT-S (AdamW, Cosine)	Accuracy	13	—	Unverified
2	ResNet-50 (SGD, Cosine)	Accuracy	8.4	—	Unverified
3	ResNet-50 (SGD, Step)	Accuracy	8.3	—	Unverified
4	ResNet-50 (AdamW, Cosine)	Accuracy	8.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Mixed Classifier	Clean Accuracy	85.21	—	Unverified
2	ResNet18/MART-ANCRA	Clean Accuracy	60.1	—	Unverified